of Neural Network Approaches to Restoring Damaged QR Codes

In an increasingly digital world, Quick Response (QR) codes have become essential tools for fast and reliable access to information, bridging the gap between physical and digital environments. However, these codes are often exposed to external factors such as environmental degradation, mechanical da...

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Bibliographic Details
Published in:	International Conference on Actual Problems of Electronic Instrument Engineering proceedings pp. 1 - 6
Main Authors:	Yusupova, Shohida, Faxriddin, Bekchanov, Mardonbek, Jumanazarov
Format:	Conference Proceeding
Language:	English
Published:	IEEE 14.11.2025
Subjects:	Adaptation models Biological system modeling Computer architecture computer vision Convolutional neural networks damaged QR codes deep learning digital restoration Distortion error correction Generative adversarial networks image processing Image reconstruction Image restoration machine learning Neural networks QR code recognition QR code restoration QR codes
ISSN:	2473-8573
Online Access:	Get full text
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